Hybrid methodologies to foster ontology-based knowledge management platform

Abstract

Nowadays, a multitude of users benefits from social interactions, blogging, wiki in order to share their own contents with each other (i.e., user-generated content). In fact, both Web 2.0 and Enterprise 2.0 applications have changed the knowledge sharing paradigm, and have introduced enabling features to foster information flow among users. Nevertheless, the availability of large amount of information targeted to human employment highlights reusing, reasoning and exploitation of available knowledge. Emerging Semantic Web technologies enable to codify information in a machine understandable way. Therefore, the latest web development trend is devoted to combine Web 2.0 features with semantic technologies (e.g. semantic tagging, semantic wiki). This scenario raises new requirements in terms of knowledge base extraction, update and maintenance. To this end, this work defines an ontology-based knowledge management platform that integrates methodologies aimed at supporting the life cycle of large and heterogeneous enterprise's knowledge bases. In particular, the defined architecture relies on hybrid methodologies which apply computational intelligence techniques and Semantic Web technologies to support Knowledge Extraction, Ontology Matching and Ontology Merging.